---
title: 'Senior Data Scientist, Product at RevenueCat'
canonical: 'https://feeny.ai/job/senior-data-scientist-product-revenuecat-americas-at7defv9ye53'
type: 'job'
last_seen: '2026-10-30'
---

# Senior Data Scientist, Product at RevenueCat

- **Company:** RevenueCat
- **Location:** Americas
- **Compensation:** $220k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.ashbyhq.com/revenuecat/22cccdd0-817d-460f-9f9d-a3d0ab3e6e2b

## Job description

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.

## The role

We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive. This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward. You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet. You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data. Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.

## What you will do

- Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
- Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations.
- Partner with Product Managers to shape roadmaps, not just execute on them.
- Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.
- Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
- Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact.
- Continuously iterate on shipped models and features based on real-world usage and feedback.

This role has real ownership. You will not just support decisions, you will help drive them.

## About you

You are a Senior Data Scientist who cares deeply about impact and product outcomes. From a skills perspective, you bring:

- 5+ years of experience working as a Data Scientist.
- Strong SQL skills and comfort with data modeling.
- Experience building and deploying predictive and descriptive models in production.
- Experience writing or collaborating on production-ready Python code.
- A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
- The ability to clearly explain complex ideas and results to broad audiences.

You recognize yourself in several of these:

- You are highly proactive and opinionated, and you are comfortable pushing ideas forward.
- You enjoy working with messy, real-world data and imperfect information.
- You care more about creating customer value than academic elegance.
- You are comfortable operating in ambiguity and building structure where none exists.
- You enjoy working closely with Product teams and influencing decisions.
- You are excited by the consumer subscription ecosystem and curious about how developers make money.

What success looks like In the first month, you'll:

- Understand our data models.
- Get to know the team.
- Ramp up on the ongoing data feature work.
- Implement and ship your first project.

Within the first 3 months, you'll:

- Meaningfully contribute to shipping a data feature to thousands of developers.
- Learn the basics of incident response, and be part of the on-call rotation.
- Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features.
- Launch your own explorations into our data to fulfill your own curiosity.

Within the first 6 months, you'll:

- Own one or more core data-powered features end to end.
- Influence the data feature roadmap with clear, data-backed proposals.
- Be a go-to partner for product teams on data-driven decision making.

Within the first 12 months, you'll:

- Propose and lead entirely new data-driven product initiatives.
- Push the boundaries of how RevenueCat uses data to help developers grow revenue.
- Help shape how data science operates at RevenueCat as the function grows.

What we offer:

- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend

Interviewing at RevenueCat Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on [how we hire at RevenueCat](https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/), including tips to help you succeed. More on how we work:

- How we think about hiring and team design: [Building a Winning Team](https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21)
- The values that guide how we work: [Our Values](https://www.revenuecat.com/blog/values/)
- How we work as a remote team: [How We Work Remotely at RevenueCat](https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/)
- What to expect from our interview process: [Interview Expectations](https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21)
- What to expect from comp and employment: [Employment FAQ](https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21)

## About RevenueCat

## Company Overview
- **One-liner**: A platform that provides cross-platform subscription management, analytics, and growth tools for mobile and web apps.
- **Entity Type**: Private (Series C – last round $38M in May 2025)
- **Headquarters**: Brandon, Florida, USA (per LinkedIn) / San Francisco, California, USA (per Craft.co) – conflicting reports
- **Founded**: 2017
- **Founders**: Jacob Eiting (CEO) and Miguel Carranza (CTO)

## Core Business
- **Primary industry**: Software Development / Mobile Subscription Infrastructure
- **Target customers**: B2B – app developers, product teams, data teams, and support teams at consumer and enterprise apps
- **Mission**: “Build the standard for mobile subscription infrastructure” (from Built In)

## Products & Services
- **Subscription Backend-in-a-Box**: Handles receipt validation, purchase setup, and platform updates across StoreKit, Google Play, smart TV, and web.
- **Paywall Templates & Editor**: Pre-built, configurable paywall UI with layer-driven editor for A/B testing and audience targeting.
- **Analytics & Reporting**: Full-funnel analytics, cohort payback period estimation, and predictive analytics for campaign performance.
- **Automated Refund Handling**: Uses usage data and preferences to reduce auto‑approvals and retain revenue (e.g., Dipsea reduced refunds by 36%).
- **Web‑to‑App Campaigns**: Bypass fees and attribution restrictions to drive conversions from web to app.
- **Self‑Serve Support Tools**: Centralized cross‑platform data for debugging and customer assistance.
- **A/B Testing**: Remotely configurable experiments on pricing, packaging, and paywalls.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**:
  - Annual Revenue: ~$20M (per LinkedIn Financials)
  - Total Funding: $156.6M across 7 rounds
  - API requests daily: 3B+
  - Revenue processed: $14B+
  - Trusted apps: 113K+
- **Notable Investors**: Index Ventures (led Series A), Y Combinator Continuity Fund (led Series B), Y Combinator (seed), plus multiple others.
- **Acquisition**: Acquired Dipsea in September 2024.
- **Growth Signals**:
  - Headcount: 133 employees (+43% YoY)
  - LinkedIn followers: 41,712 (+95% yearly)
  - Active job postings: 53 (monthly +6%, quarterly +32.5%)
  - SOC2 certified, GDPR compliant
  - 4.8/5 Capterra rating, 4.7/5 G2 rating, 4.9/5 product reviews

## Competitive Advantages
- **Platform Moat**: Acts as the single source of truth for subscriptions across iOS, Android, and web, reducing engineering overhead for platform updates and edge cases.
- **Network Effects**: Thousands of apps use RevenueCat, creating a large data pool for benchmarking and analytics.
- **Developer‑First**: Free until $2,500 MRR; easy integration with SDKs; dedicated team handling store API changes.
- **Integrated Growth Tools**: A/B testing, automated refunds, and analytics are built into one platform, reducing the need for multiple tools.
- **Remote‑First Culture**: Attracts global talent across 25+ countries, with strong retention and high employee satisfaction scores (5.0/5.0 on LinkedIn, 48 reviews).

## Strategic Focus
- **Expanding Product Lines**: Recent job postings for “Senior Product Manager, Agents” and “Senior Software Engineer, Agents” indicate new AI‑powered agents or automation features.
- **Web Revenue**: Continuing to invest in web‑to‑app campaigns and cross‑web subscription management.
- **Data & Analytics**: Deepening predictive analytics and cohort analysis to help customers optimize payback periods.
- **Automation**: Scaling automated refund handling and win‑back campaigns to reduce churn.

## Why Work Here
- **Remote‑First**: Flexible remote work across 40+ locations; no mandatory office time (HQ in San Francisco/Brandon but team is globally distributed).
- **Compensation & Benefits**:
  - Competitive salaries (e.g., Sr. Backend Engineer ~€196K/yr, TAM ~$103K/yr)
  - Equity for all employees
  - Health/dental/vision insurance, 401K, life insurance, disability insurance
  - Generous parental leave, family medical leave, paid sick days, flexible PTO
- **Culture & Growth**:
  - Average 5.0/5.0 employer rating on LinkedIn; Work‑Life 4.5, Compensation 4.9, Culture 4.9, Career 4.7
  - Strong emphasis on senior hires and career development tracks (customized development tracks mentioned)
  - Flat-ish structure: 31% senior, 19% specialist, 18% manager
  - Engineering‑heavy: 48% of roles technical
- **Tech Stack**: CircleCI, HubSpot, Looker, and modern mobile SDKs (iOS, Android, web).
- **Recent Alumni Go To**: Monzo, ŌURA, Fever, Verizon – indicates talent is well‑regarded.

## Sources
1. [revenuecat.com](https://www.revenuecat.com/)
2. [linkedin.com/company/revenuecat](https://www.linkedin.com/company/revenuecat)
3. [builtin.com/company/revenuecat](https://builtin.com/company/revenuecat)
4. [craft.co/revenuecat](https://craft.co/revenuecat)
5. [jobs.ashbyhq.com/revenuecat](https://jobs.ashbyhq.com/revenuecat)

## Other roles at RevenueCat

- [GTM Operations Manager](https://feeny.ai/job/gtm-operations-manager-revenuecat-emea-79erckdc97tm) — EMEA
- [Product Expert](https://feeny.ai/job/product-expert-revenuecat-americas-7xvkcep9kne8) — Americas
- [Senior Product Manager, User Acquisition](https://feeny.ai/job/senior-product-manager-user-acquisition-revenuecat-americas-1jg68a0dapzm) — Americas
- [Senior Partnerships Manager, Product Partnerships](https://feeny.ai/job/senior-partnerships-manager-product-partnerships-revenuecat-americas-sxm8apve9c1b) — Americas
- [Senior SDK Engineer](https://feeny.ai/job/senior-sdk-engineer-revenuecat-americas-w4nfvp3f8c4d) — Americas
- [Senior Product Manager, Analytics Features](https://feeny.ai/job/senior-product-manager-analytics-features-revenuecat-americas-vaq0p7m8ywms) — Americas
- [Senior Product Manager, Ad Monetization](https://feeny.ai/job/senior-product-manager-ad-monetization-revenuecat-americas-3d26rmwqyz4q) — Americas
- [Senior Software Engineer, Agents](https://feeny.ai/job/senior-software-engineer-agents-revenuecat-americas-j8e4hn7k7vv5) — Americas
- [Senior Software Engineer, Product](https://feeny.ai/job/senior-software-engineer-product-revenuecat-americas-r2jt0qqmjtjs) — Americas
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-revenuecat-americas-x4rjp8m2v339) — Americas